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RFK Jr. Wants Every American to Be Sporting a Wearable Within Four Years

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  • Here’s What Mark Zuckerberg Is Offering Top AI Talent

    Technology technology
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    K
    Is it virtual legs or can't figure those out still?
  • UK police are being told to hide their work with Palantir

    Technology technology
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    M
    This is really fucking dark for multiple reasons
  • 157 Stimmen
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    W
    that's not just useless defeatism, but also false. effective end to end encryption exists in multiple forms today. signal, maybe even with a custom server. matrix if the server is being ran on trusted hardware. XMPP too with the right extensions.
  • 137 Stimmen
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    24 Aufrufe
    treadful@lemmy.zipT
    https://archive.is/oTR8Q
  • Why doesn't Nvidia have more competition?

    Technology technology
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    B
    It’s funny how the article asks the question, but completely fails to answer it. About 15 years ago, Nvidia discovered there was a demand for compute in datacenters that could be met with powerful GPU’s, and they were quick to respond to it, and they had the resources to focus on it strongly, because of their huge success and high profitability in the GPU market. AMD also saw the market, and wanted to pursue it, but just over a decade ago where it began to clearly show the high potential for profitability, AMD was near bankrupt, and was very hard pressed to finance developments on GPU and compute in datacenters. AMD really tried the best they could, and was moderately successful from a technology perspective, but Nvidia already had a head start, and the proprietary development system CUDA was already an established standard that was very hard to penetrate. Intel simply fumbled the ball from start to finish. After a decade of trying to push ARM down from having the mobile crown by far, investing billions or actually the equivalent of ARM’s total revenue. They never managed to catch up to ARM despite they had the better production process at the time. This was the main focus of Intel, and Intel believed that GPU would never be more than a niche product. So when intel tried to compete on compute for datacenters, they tried to do it with X86 chips, One of their most bold efforts was to build a monstrosity of a cluster of Celeron chips, which of course performed laughably bad compared to Nvidia! Because as it turns out, the way forward at least for now, is indeed the massively parralel compute capability of a GPU, which Nvidia has refined for decades, only with (inferior) competition from AMD. But despite the lack of competition, Nvidia did not slow down, in fact with increased profits, they only grew bolder in their efforts. Making it even harder to catch up. Now AMD has had more money to compete for a while, and they do have some decent compute units, but Nvidia remains ahead and the CUDA problem is still there, so for AMD to really compete with Nvidia, they have to be better to attract customers. That’s a very tall order against Nvidia that simply seems to never stop progressing. So the only other option for AMD is to sell a bit cheaper. Which I suppose they have to. AMD and Intel were the obvious competitors, everybody else is coming from even further behind. But if I had to make a bet, it would be on Huawei. Huawei has some crazy good developers, and Trump is basically forcing them to figure it out themselves, because he is blocking Huawei and China in general from using both AMD and Nvidia AI chips. And the chips will probably be made by Chinese SMIC, because they are also prevented from using advanced production in the west, most notably TSMC. China will prevail, because it’s become a national project, of both prestige and necessity, and they have a massive talent mass and resources, so nothing can stop it now. IMO USA would clearly have been better off allowing China to use American chips. Now China will soon compete directly on both production and design too.
  • Is Washington state falling out of love with Tesla?

    Technology technology
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    B
    These Tesla owners who love their cars but hate his involvement with government are a bit ridiculous because one of the biggest reasons he got in loved with shilling for the right is that the government was looking into regulations and investigations concerning how unsafe Tesla cars are.
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    D
    I don't think accuracy is an issue either. I've been on the web since inception and we always had a terribly inaccurate information landscape. It's really about individual ability to put together found information to an accurate world model and LLMs is a tool just like any other. The real issues imo are effects on society be it information manipulation, breaking our education and workforce systems. But all of that is overshadowed by meme issues like energy use or inaccuracy as these are easy to understand for any person while sociology, politics and macro economics are really hard.
  • Dear Brother Printers: Eat a [Sponsor friendly words here]

    Technology technology
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    A
    Why doesn't Amazon just sell a generic printer that works with generic toner or pigment or ink. I would buy.